Questions tagged [anomaly-detection]

For questions related to anomaly detection (or outlier detection) algorithms, which is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. There are unsupervised, supervised and semi-supervised anomaly detection algorithms.

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Defect Detection System using Deep Learning

What is the general approach to defect detection in deep learning? Would the approach be better if we try to learn the positive images (defects in images) as much as possible or we try to learn the ...
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1answer
41 views

Understanding the reconstruction loss in the paper “Anomaly Detection using Deep Learning based Image Completion”

I would like to implement the approach represented in this paper. Here they used following reconstruction loss: $$ L(X)= \frac{\lambda \cdot || M \odot (X - F(\overline{M} \odot X)) ||_{1} + (1 - \...
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1answer
48 views

Reconstruction Errors in Auto Encoders after Training

Autoencoders are used for unsupervised anomaly detection by at first learning the features of the data set with mainly "normal" data points. Then new data can be considered anomalous, if the new data ...
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0answers
92 views

Application of Blockchain in Fraud detection in stock market

I want to develop a fraud detection application in the stock market Using Blockchain technology, we have some pattern that defines the anomaly for use of supervised machine learning but there is one ...
3
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1answer
48 views

Which unsupervised learning algorithm can be used for peaks detection?

So, I have a dataset which has around 1388 unique products and I have to do unsupervised learning on them in order to find anomalies (high/low peaks). The data below just represents one product. The <...
5
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1answer
101 views

Unsupervised Learning for anomaly detection

I've started working on anomaly detection in Python. My dataset is a time series one. The data is being collected by some sensors which record and collect data on semiconductor making machines. My ...
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0answers
38 views

How to perform unsupervised anomaly detection from log file with mostly textual data?

I have a log file of the format, Index, Date, Timestamp, Module, App, Context, Session, Verbosity level, Description The log file can be considered as a master log, which consists of individual ...
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2answers
63 views

Which unsupervised anomaly detection algorithms are there?

I need to create model which will find suspicious entries or anomalies in a network, whose characteristics or features are the asset_id, ...